Recovery from severe H7N9 disease is associated with diverse response mechanisms dominated by CD8 T cells

Z Wang; Y Wan; C Qiu; S Quiñones-Parra; Z Zhu; L Loh; D Tian; Y Ren; Y Hu; X Zhang; PG Thomas; M Inouye; PC Doherty; K Kedzierska; J Xu

Journal article

Recovery from severe H7N9 disease is associated with diverse response mechanisms dominated by CD8 T cells

Z Wang, Y Wan, C Qiu, S Quiñones-Parra, Z Zhu, L Loh, D Tian, Y Ren, Y Hu, X Zhang, PG Thomas, M Inouye, PC Doherty, K Kedzierska, J Xu

Nature Communications | Published : 2015

DOI: 10.1038/ncomms7833

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Abstract

The avian origin A/H7N9 influenza virus causes high admission rates (>99%) and mortality (>30%), with ultimately favourable outcomes ranging from rapid recovery to prolonged hospitalization. Using a multicolour assay for monitoring adaptive and innate immunity, here we dissect the kinetic emergence of different effector mechanisms across the spectrum of H7N9 disease and recovery. We find that a diversity of response mechanisms contribute to resolution and survival. Patients discharged within 2-3 weeks have early prominent H7N9-specific CD8+ T-cell responses, while individuals with prolonged hospital stays have late recruitment of CD8+/CD4+ T cells and antibodies simultaneously (recovery by w..

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University of Melbourne Researchers

Liyen Loh Author

Peter Doherty Author

Katherine Kedzierska Author

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Grants

Awarded by Health and Family Planning Commission of Sichuan Province

Funding Acknowledgements

This work was supported by NSFC 81471556,81470094, 81430030 and Program for Emergency Response to H7N9 Outbreak (2013QLG003), Shanghai Municipal Commission of Health and Family Planning and the 973 National Key Basic Research Project (2014CB542502), Ministry of Science and Technology of China, NHMRC Program Grant (GNT567122) to P.C.D. and ACSRF Group Mission 16621 and the University of Melbourne IRRTF Grants. Z.W. is an NHMRC China-Australia Exchange Fellow, L.L. is an NHMRC CJ Martin Fellow and K.K. is an NHMRC CDF2 Fellow. S.Q.-P. is a recipient of the University of Melbourne International Research Scholarship and a CONACyT Scholar. M.I. was supported by an NHMRC and Australian Heart Foundation Career Development Fellowship (no. 1061435). P.G.T. is supported by NIH grant AI107625 and the St Jude Center of Excellence for Influenza Research and Surveillance, HHSN272201400006C. We thank Yuanyuan Yang for mathematical modelling of immune responses.